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About the role
Senior Machine Learning / Data Engineer - Education: Master or PhD degree in Computer Science, Data Engineering, Machine Learning, or a related field - Experience: - 3+ years of experience in data engineering, machine learning engineering, or a related role - Experience in building and maintaining data pipelines for machine learning systems (data ingestion, preprocessing, validation, versioning) - Experience supporting end-to-end ML workflows (data preparation, training, evaluation, deployment) - Familiarity with cloud-based data platforms and infrastructure (data lakes, pipelines, orchestration, monitoring) - Experience working with large, structured and unstructured datasets, including image data (computer vision pipelines is a plus) - Experience contributing to data labeling, cleaning, and dataset quality control, including working with annotation tools and processes - Skills: Strong programming skills (especially Python), solid understanding of data structures, data processing, and machine learning workflows - Communication: Ability to collaborate effectively with data scientists and engineers and clearly communicate data-related challenges and solutions Preferred attributes - Hands-on mindset: Willingness to actively contribute to data labeling, cleaning, and dataset improvement - Pragmatic: Focus on building robust, scalable, and maintainable data pipelines - Detail-oriented: Robust focus on data quality, consistency, and reproducibility - Adaptable: Comfortable working in fast-paced, evolving environments - Experience working in international or cross-cultural environments is a plus - Exposure to global teams, customers, or academic environments is preferred Your tasks - Design, build, and maintain scalable data pipelines for AI/ML systems - Ensure data quality, consistency, and versioning across datasets and customers - Support the full ML lifecycle, including data preparation, training, evaluation, and deployment workflows - Actively contribute to data la .
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